How to use do_some_calculation method in grail

Best Python code snippet using grail_python

app.py

Source:app.py Github

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2def get_data_from_cloud_database(key):3 """Connect to an api's database and retreive data."""4 if key is None:5 raise ConnectionError("Cannot connect to database.")6def do_some_calculation(data: pd.DataFrame, column: str):7 """Return the inputted data with the specified column's values multiplied by -1 (signs flipped).8 Args:9 data (pd.DataFrame): Input data.10 column (str): column in data to be multiplied by -1.11 Returns:12 pd.DataFrame: DataFrame with a reversed sign column.13 """14 # flip the sign of an entire numerical column of data.15 data[column] = -1 * data[column]16 return data17def write_processed_data_back_to_cloud_database():18 """Connect to an api's database and retreive data."""19 raise ConnectionError("Cannot write data back to database.")20def run_app():21 """Run app."""22 df = get_data_from_cloud_database(key=None)23 df = do_some_calculation(data=df, column="A")24 df = do_some_calculation(data=df, column="C")25 write_processed_data_back_to_cloud_database()...

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test_example.py

Source:test_example.py Github

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...6def decrease(v):7 return v-18class TestClass(object):9 def test_some_feature(self):10 result = self.do_some_calculation(2, second_param=3)11 self.verify_result(result)12 increase(result)13 decrease(result)14 @step(step_group=True)15 def do_some_calculation(self, first_param, second_param):16 first_param = increase(first_param)17 second_param = increase(second_param)18 return first_param + second_param19 @step(log_input=False)20 def verify_result(self, actual_data):...

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4_logging_params.py

Source:4_logging_params.py Github

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1from grail import BaseTest, step2from nose.tools import eq_3class MyLoggingParametersAndOutputTest(BaseTest):4 def test_some_feature(self):5 result = self.do_some_calculation(2, second_param=3)6 self.verify_result(result)7 @step8 def do_some_calculation(self, first_param, second_param):9 return first_param + second_param10 @step11 def verify_result(self, actual_data):...

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